Analytics Engineer Data
581.906 kr. (DKK)/yr
279,76 kr. (DKK)/hr
16.643 kr. (DKK)/yr
The average analytics engineer data gross salary in Helsingør, Denmark is 581.906 kr. or an equivalent hourly rate of 280 kr.. This is 2% lower (-11.795 kr.) than the average analytics engineer data salary in Denmark. In addition, they earn an average bonus of 16.643 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Helsingør, Denmark. An entry level analytics engineer data (1-3 years of experience) earns an average salary of 412.253 kr.. On the other end, a senior level analytics engineer data (8+ years of experience) earns an average salary of 656.524 kr..
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634.629 kr. (DKK)
9 %
Based on our compensation data, the estimated salary potential for Analytics Engineer Data will increase 9 % over 5 years.
This chart displays the highest level of education for:
Analytics Engineer Data, the majority at 100% with bachelors.
Typical Field of Study: Data Modeling/Warehousing and Database Administration
See how education can impact your salaryThe cost of living in Helsingør, Denmark is 0% more than the average cost of living in Denmark. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageHelsingør ( HEL-sing-UR, Danish: [helse̝ŋˈøɐ̯ˀ]; classically known in English as Elsinore ( EL-sin-or, -OR), is a coastal city in northeastern Denmark. Helsingør Municipality had a population of 63,953 on 1 January 2025, making it the 23rd most populated municipality in Denmark. Helsingør is located at the narrowest part of the Øresund strait and together with Helsingborg in Sweden, forms the northern reaches of the Øresund Region, centred on Copenhagen and Malmö. Helsingør is a ferry city, wit
Sourced from WikipediaERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
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